基于GIS的武威市凉州区甜叶菊种植适宜性评价

在对武威市凉州区甜叶菊生长特性全面分析的基础上,采用研究区耕地质量评价整理的数字化图件和统计资料,在地理信息系统软件中叠加生成甜叶菊适宜性评价单元图,建立层次模型,计算得出适宜性分区。结果表明:确定出了凉州区行政区域甜叶菊适宜性区域和所占面积,其中高度适宜性种植面积、适宜种植面积、勉强适宜性种植面积、不适宜种植面积分别占耕地面积的47.89%、34.67%、9.77%和7.66%,并生成凉州区甜叶菊种植适宜性分区图。

基于GIS的凉州灌区节水效率分区研究

以甘肃省凉州区的灌区耕地作为评价对象，应用 GIS 数据处理和空间分析功能，借助县域耕地资源管理信息系统软件，结合层次分析法和模糊数学法，对灌区节水效率进行了适宜性评价；并通过计算评价指数，按照累积曲线法确定了凉州区灌区节水效率分级方案。结果表明，高效节水区 IFI综合值为0.700036~0.922291，潜能节水区IFI综合值为0.627345~0.699466。通过系统计算，影响节水效率的指标因子的权重大小依次为灌溉保证率、坡度、灌溉模数、有机质、障碍层厚度、有效磷、熟化层厚度、耕层厚度。整个灌区高效节水区面积略大于潜能节水区面积。在灌区行政层面上，高效节水区面积较大的是西营灌区、永昌灌区、杂木灌区，潜能节水区域面积较大的是黄羊灌区。同时定量划分了灌区不同节水效率分区面积，生成了凉州区灌区耕地节水效率适宜性分区图。

春小麦甘育3号在凉州区基于GIS的适宜性评价

应用凉州区县域耕地资源管理系统(CLRMIS),考虑影响凉州区小麦甘育3号生长的主要因子,构建层次模型,结合测土配方数据建立的农业生产因子数据库,拟合出每个因子的隶属函数,运用累计曲线法分析当前模型下春小麦甘育3号应用适宜性分区。结果表明,该模型下春小麦甘育3号总体在凉州区灌区全部适宜。其中高度适宜等级面积28 715.98 hm^2,占耕地面积的19.58%;适宜等级面积84 509.46 hm^2,占耕地面积57.62%;勉强适宜等级面积33 434.03 hm^2,占耕地面积22.80%。

基于模糊数学法的凉州区高原夏菜种植适宜性评价

将地理信息系统软件与县域耕地资源管理系统(CLRMIS)相结合,选取8个分区评价因子,构建了用于评价适宜性的层次模型,在CLRMIS中进行适宜性级别划分、评价结果分析、面积量算及成果图的输出。评价结果将凉州区高原夏菜种植区划分为4个适宜性区域,高度适宜性种植面积占耕地面积的51.51%,适宜性种植面积占23.5%,勉强适宜性种植面积占14.17%,不适宜种植区域面积占11.52%。

Construction of Value Models of Consumer Creation for Agricultural Products Based on the Analytic Hierarchy Process(AHP)

With the increased competition of modern economy and globalization,consumer creation which based on the analysis of consumer behavior was more and more attentioned and respected by business.Based on the meaning and characteristics of agricultural product consumer creation,index system of value model of agricultural product consumer creation was put forward through analytical hierarchy process（AHP）.The weights of the indicators and related indicators of impact on the value were analyzed,and value models of agricultural product consumer creation were constructed to provide ideas for development of agricultural product consumer market and research of consumer value.Consumer creation was constructed to provide ideas for development of agricultural product consumer market and research of consumer value.

基于GIS的凉州区醇用型甜高粱适宜性等级预测研究

以武威市凉州区土壤图、土地利用现状图、行政区划图和地貌类型分区图叠加形成评价对象单元,选取对研究区耕地生产力影响较大、与农业生产有密切关系,并且具有区域差异明显、时间序列上相对稳定特征的8个因子,建立评价指标体系;建立层次分析模型,进行综合指数计算分析。预测研究结果表明:参评因子中,对研究区醇用型甜高粱种植适宜性等级的影响程度从大到小依次为:灌溉保证率、土壤类型、成土母质、灌溉模数、剖面构型、海拔、有机质、速效钾。凉州区醇用型甜高粱适宜性评价为4个等级,分级标准取值(IFI)为0.7825、0.5356和0.4219,对应区域为一级适宜、二级适宜、三级适宜和四级适宜,其面积分别为43806 hm^2、21207 hm^2、16071 hm^2和16198 hm^2。

基于CLRMIS的陇南市武都区马铃薯适宜性评价

本文应用陇南市武都区县域耕地资源管理系统(CLRMIS)和ARCGIS10.2,基于层次模型分析和隶属函数模型上,进行了武都区马铃薯适宜性评价。结果表明:该模型下研究区马铃薯适宜性分为三个等级,高度适宜等级面积39 514.59 hm^2,占耕地面积的25.04%,适宜等级面积82 383.55 hm^2,占耕地面积52.2%,勉强适宜等级面积35 916.91 hm^2,占耕地面积22.76%。

HIERARCHIC GREY QUASI-PREFERRED ANALYSIS MODEL AND ITS APPLICATION

The grey quasi-preferred analysis (GQPA) is one of important methods for realizing system analysis to conquer the limitations of the existing GQPA model, without any considerations to the difference of the different behavioral factor′s importance. It could not be used to analyze the complex system with multi-hierarchy correlation factors, the weighted synthetic method for calculating abstract incidence degrees between the system beha-vioral characteristics and correlative factors in different hierarchies is given out,and the hierarchic grey quasi-preferred analysis (HGQPA) model is established. The effectiveness of the HGQPA model is tested by the scientific-technical system of Jiangsu Province. The depth and the range of the application of GQPA are developed, and the HGQPA model is regarded as a new approach to systemically analyze the complex systems with multi-hierarchy correlation factors.

Evaluation model for freeway incident management system

In order to evaluate the general situation and find special problems of the freeway incident management system, an evaluation model is proposed. First, the expert appraisal approach is used to select the primary evaluation index. As a result, 81 indices and the hierarchical structures of the index such as the object layer, the sub-object layer, the criterion layer and the index layer are determined. Then, based on the fuzzy characteristics of each index layer, the analytical hierarchy process（AHP）and the fuzzy comprehensive evaluation are applied to generate the weight and the satisfaction of the index and the criterion layers. When analyzing the relationship between the sub-object layer and the object layer, it is easy to find that the number of sub-objects is too large and sub-objects are significantly redundant. The partial least square （PLS） is proposed to solve the problems. Finally, an application example, whose result has already been accepted and employed as the indication of a new project in improving incident management, is introduced and the result verifies the feasibility and efficiency of the model.

Evaluation and optimization of secondary water supply system renovation

Due to pollution in second water supply system (SWSS),nine renovation alternative plans were proposed and com-prehensive evaluations of different plan based on Analytical Hierarchy Process (AHP) were presented in this paper. Comparisons of advantages and disadvantages among the plans of SWSS renovations provided solid foundation for selecting the most appro-priate plan for engineering projects. In addition,a mathematical model of the optimal combination of renovation plans has been set up and software Lingo was used to solve the model. As a case study,the paper analyzed 15 buildings in Tianjin City. After simulation of the SWSS renovation system,an optimal scheme was obtained,the result of which indicates that 10 out of those 15 buildings need be renovated in priority. The renovation plans selected for each building are the ones ranked higher in the com-prehensive analysis. The analysis revealed that the optimal scheme,compared with two other randomly calculated ones,increased the percentage of service population by 19.6% and 13.6% respectively,which significantly improved social and economical benefits.

Risk assessment of water inrush in tunnels based on attribute interval recognition theory

Water inrush is one of the most serious geological hazards in underground engineering construction.In order to effectively prevent and control the occurrence of water inrush,a new attribute interval recognition theory and method is proposed to systematically evaluate the risk of water inrush in karst tunnels.Its innovation mainly includes that the value of evaluation index is an interval rather than a certain value;the single-index attribute evaluation model is improved non-linearly based on the idea of normal distribution;the synthetic attribute interval analysis method based on improved intuitionistic fuzzy theory is proposed.The TFN-AHP method is proposed to analyze the weight of evaluation index.By analyzing geological factors and engineering factors in tunnel zone,a multi-grade hierarchical index system for tunnel water inrush risk assessment is established.The proposed method is applied to ventilation incline of Xiakou tunnel,and its rationality and practicability is verified by comparison with field situation and evaluation results of other methods.In addition,the results evaluated by this method,which considers that water inrush is a complex non-linear system and the geological conditions have spatial variability,are more accurate and reliable.And it has good applicability in solving the problem of certain and uncertain problem.

Environmental impact evaluation for high-speed railway

Environmental impact evaluation system boundary of high-speed railway was defined based on the total life cycle theory,and the index system to evaluate the environmental impact of high-speed railway was established with the fuzzy analytic hierarchy method,and the matter-element evaluation model was established on the basis of the extension theory.By calculating its comprehensive interrelatedness,the evaluation rank of environment impacts of high-speed railway was determined.The numerical example shows that the model has vast prospect,which can not only expand the application areas of extension theory,but also change the traditional evaluation methods and provide new ideas and means for environmental impact evaluation of high-speed railway.

System failure analysis based on DEMATEL–ISM and FMECA

A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling(ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis(FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement.Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems.

Habitat suitability analysis of eelgrass Zostera marina L. in the subtidal zone of Xiaoheishan Island

We present a GIS-based habitat suitability index(HSI) model to identify suitable areas for Zostera marina L. restoration in the subtidal zone of Xiaoheishan Island. The controlling factors in the model,in order of importance,are Secchi depth,sediment composition,water temperature,salinity,current velocity,water depth and nutrient quality. Specific factor piecewise functions have been used to transform parameter values into normalized quality indexes. The weight of each factor was defined using expert knowledge and the analytic hierarchy process(AHP) method. All of the data thus obtained were interpolated using the inverse distance weighted(IDW) interpolation method to create maps for the entire region. In this study,the analysis of habitat suitability in the subtidal zone of Xiaoheishan Island was conducted for four seasons. According to the GIS-based HSI model,the optimal habitat of Z ostera marina L. appears in spring,although habitat remains suitable all year round. On the whole,the optimum site for eelgrass restoration is located in the eastern region,followed by the western and southern regions. We believe that the GIS-based HSI model could be a promising tool to select sites for Z ostera marina L. restoration and could also be applicable in other types of habitat evaluation.

Malware Detection in Smartphones Using Static Detection and Evaluation Model Based on Analytic Hierarchy Process

Mobile malware is rapidly increasing and its detection has become a critical issue. In this study, we summarize the common characteristics of this inalicious software on Android platform. We design a detection engine consisting of six parts： decompile, grammar parsing, control flow and data flow analysis, safety analysis, and comprehensive evaluation. In the comprehensive evaluation, we obtain a weight vector of 29 evaluation indexes using the analytic hierarchy process. During this process, the detection engine exports a list of suspicious API. On the basis of this list, the evaluation part of the engine performs a compre- hensive evaluation of the hazard assessment of software sample. Finally, hazard classification is given for the software. The false positive rate of our approach for detecting rnalware samples is 4. 7% and normal samples is 7.6%. The experimental results show that the accuracy rate of our approach is almost similar to the method based on virus signatures. Compared with the method based on virus signatures, our approach performs well in detecting unknown malware. This approach is promising for the application of malware detection.

Research About Measures of Enhancing Stability of Competitive Strategic Alliance

With the global economy and the intensification of market competition, more and more enterprises in the same industry to establish a new alliance---competitive strategic alliance. Competitive strategic alliance is not only in the strategic choice of the existence of a potential to create value, but also the existence of synergy. Competition and cooperation between the two conflicting complex logic relations coexist in the competitive strategic alliances （CSA）. Therefore maintaining the relative stability of alliance is the premise and necessary condition of alliance to success. In this paper, on the basis of the literature review, we discuss the significance and principles of improving CSA＇s stability; in the way of case analysis and expert interviews construct the hierarchy analysis model of improving CSA＇s stability; and then further put forward a series of measures which can maintain the CSA＇s stability, such as strengthen the ability of technological innovation, protection and development of the core ability of the enterprise, to develop a coherent strategy alliance target, choose a suitable alliance partner, coordinate the corporate culture between partners, establish alliance risk prevention mechanism, and so on. It will provide theoretical support and practical guidance to relevant departments and relevant personnel in policy decision-making and problem-solving

Analysis on the Security Enhancement Model of Communication System based on Chaotic Encryption and Analytic Hierarchy Process

In this paper, we conduct research on the security enhancement model of communication system based on the chaotic encryption and analytic hierarchy process. The communication of the information network is completed by the communication protocol. The communication protocol can be divided into application layer, transport layer, network layer, link layer and physical layer. By using the communication protocol, the security control of the network communication can meet the needs of the information network security communication. This paper integrates the chaos system to further implement the robust system architecture. The algorithm of this paper tries to make the maximum value of the above three parameters in each iteration step by step and the output feedback to dynamically change these parameters. Compared with other algorithms, our method can adopt more related theories to perform the better result.

Adaptability evaluation of transportation system and urban development

Sixty indexes, ranging from social development and economy increasing to ecological protection and transportation system construction, are chosen to construct an index system of adaptability evaluation on transportation system and urban development. A synthesis model with nonlinear characteristic is proposed, and the corresponding procedure is presented based on an improved AHP model, which utilizes the SVD method to improve the required precision of matrix with acceptable consistency weight and detect and amend the significant elements via distance and proximity so as to improve the whole consistency. Taking Shandong Province for the case study, experimental results indicate that the adaptability degree of the system is in an increasing state, which provides robust and effective support for decision-makers working on a range of problems and in various circumstances.

A Ship Officer Performance Evaluation Model Using Fuzzy-AHP

A ship＇s crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew＇s performance is an important issue. In this paper, the ship officer＇s performance evaluation problem is studied. The performance evaluation criteria that shipping companies take into account are determined and a performance evaluation process is modelled by using the FAHP （Fuzzy Analytic Hierarchy Process） based on Chang＇s Algorithm. Linguistic variables and fuzzy numbers are used in the assessment process. The results of the proposed model demonstrate that the FAHP method is effective and helps managers make better and more reliable decisions under fuzzy circumstances.

Matter-elements model and application for prediction of ccoal and gas outburst

The theory and method of extenics were applied to establish classical field matterelements and segment field matter elements for coal and gas outburst.A matter-element model for prediction was established based on five matter-elements,which includedgas pressure,types of coal damage,coal rigidity,initial speed of methane diffusionand in-situ stress.Each index weight was given fairly and quickly through the improvedanalytic hierarchy process,which need not carry on consistency checks,so accuracy ofassessment can be improved.